fix(imperative): add __array__ and __array_wrap__ for tensorwrapper

GitOrigin-RevId: 87d4ab6c8eaf934b0ef3770113627c61c92ada93

imperative/python/megengine/core/tensor/tensor_wrapper.py

@@ -211,7 +211,18 @@ def _expand_args(args):
 
 class ArrayMethodMixin(abc.ABC):
 
-    __array_priority__ = 233333
+    # enable tensor to be converted to numpy array
+    __array_priority__ = 1001
+
+    def __array__(self, dtype=None):
+        if dtype == None:
+            return self.numpy()
+        return self.numpy().astype(dtype)
+
+    def __array_wrap__(self, array):
+        return TensorWrapper(
+            as_raw_tensor(array, dtype=array.dtype, device=self.device)
+        )
 
     @abc.abstractmethod
     def _reset(self, other):

imperative/python/test/unit/test_tensor_wrapper.py

@@ -50,3 +50,13 @@ def test_set_subtensor():
     np.testing.assert_almost_equal(x.numpy(), [3, 1, 2], decimal=6)
     x[1:3] = [4, 5]
     np.testing.assert_almost_equal(x.numpy(), [3, 4, 5], decimal=6)
+
+
+def test_computing_with_numpy_array():
+    x = np.array([1, 2, 3], dtype=np.int32)
+    xx = TensorWrapper(x, device="cpu0")
+    y = np.array([1, 0, 3], dtype=np.int32)
+    assert np.add(xx, y).device == xx.device
+    np.testing.assert_equal(np.add(xx, y).numpy(), np.add(x, y))
+    np.testing.assert_equal(np.equal(xx, y).numpy(), np.equal(x, y))
+    np.testing.assert_equal(np.equal(xx, xx).numpy(), np.equal(x, x))